tinyllama-coder-py-4bit-v7 GGUF download | Hugging Bay

Q: What is this model?

Ramikan-BR/tinyllama-coder-py-4bit-v7 is an open-weights language model for general published by Ramikan-BR, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for llm: Ramikan-BR/tinyllama-coder-py-4bit-v7 · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 8.44 GB. The recommended download, model.safetensors, is 2.2 GB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 8.44 GB. The original release is at https://huggingface.co/Ramikan-BR/tinyllama-coder-py-4bit-v7.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ramikan-br-tinyllama-coder-py-4bit-v7/safety on Hugging Bay.

Q: Will Ramikan-BR/tinyllama-coder-py-4bit-v7 run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

Ramikan-BR

tinyllama-coder-py-4bit-v7

Ramikan-BR/tinyllama-coder-py-4bit-v7

Model details

generalLicense: apache-2.0SHA-256 recorded for 12 of 13 filessafetensors · BIN · GGUF

Content controls: not assessed.

Listed for chat; for developers building conversational tools. Catalog sources: license, cardMetadata.license, baseModel, tags.

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Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-ramikan-br-tinyllama-coder-py-4bit-v7/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

8 hosted of 13 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors2.2 GB · 1 file Download · 2.2 GB (1 file)

Open-file help

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Check your download →

Compare your file’s SHA-256 with the recorded hash.

8 hosted of 13 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	2.2 GB	`b0fb321f…c5afb9a0` `b0fb321f7aee9600127536dee8185ee1dfbb7086654a44926c9bc666c5afb9a0`	Hosted	Descargar
`pytorch_model.bin`	2.2 GB	`2e987ea8…33982e2d` `2e987ea8d781db92ae91347e9c6607fada7baa89b3cf727f9a1f152933982e2d`	Upstream only	File metadata
`tinyllama-coder-py-4bit-v7-unsloth.F16.gguf`	2.2 GB	`4c1d3b65…ed026408` `4c1d3b656fa3e34bca81c809a7651010178628e00718a22854e1acf2ed026408`	Upstream only	File metadata
`tinyllama-coder-py-4bit-v7-unsloth.Q4_K_M.gguf`	667.8 MB	`f0c6b65d…367dd7a0` `f0c6b65d1a7cbf703eaa3937760fa6af61ee021556bf1b1bee572040367dd7a0`	Upstream only	File metadata
`tinyllama-coder-py-4bit-v7-unsloth.Q8_0.gguf`	1.17 GB	`19ca5586…6a6b432e` `19ca5586628c369f7bca0720ba2c3dff35443f920c1853110613392a6a6b432e`	Upstream only	File metadata
Tokenizer & config
`config.json`	29 bytes	`5007d686…012a5e10` `5007d686e527eae088f05b0d7061d59491416814bc21ee501895416a012a5e10`	Hosted	Descargar
`generation_config.json`	124 bytes	`9797a637…a335b032` `9797a6378b4d0569d278ba6eea55bd23b8bf6c9499e0f565107088a3a335b032`	Hosted	Descargar
`special_tokens_map.json`	552 bytes	`4859e5db…b2166e7f` `4859e5dbde90e059988a0a2136d8df3f2773d4d2fc4c4543690028f0b2166e7f`	Hosted	Descargar
`tokenizer.model`	499.7 KB	`9e556afd…1818d347` `9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347`	Hosted	Descargar
`tokenizer_config.json`	1.32 KB	`31fd6ba2…60fd9b2b` `31fd6ba2d0136fdcdb2aff3b66ec220374a7c970f91dbdc18955686460fd9b2b`	Hosted	Descargar
`tokenizer.json`	1.84 MB	`bf467c9e…b205df83` `bf467c9e0f536bda271283c6ef85eb1a943e3196b621c8a912d64953b205df83`	Hosted	Descargar
Docs
`.gitattributes`	1.76 KB	—	Upstream only	File metadata
`README.md`	591 bytes	`d5b3dbba…47979aaf` `d5b3dbba2620fdbaa10a3d6d5b3ad459d7967f54e47f6962a441fa3947979aaf`	Hosted	Descargar

Comprobar una descarga

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

tinyllama-coder-py-4bit-v7

Comprobar una descarga

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